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遗传  2007 

The application of statistical approaches in studying population genetics with STR data
群体遗传学研究中STR数据的统计方法应用

Keywords: STR,AMOVA,GIS
群体遗传学
,主成分分析,系统发生树,R矩阵,空间自相关

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Abstract:

As high polymorphism markers,STR loci have been widely used in studying population genetics.This review summarizes various genetic diversity parameters and analysis methods regarding to genotype frequency and allele fre-quency,including heterozygosity,polymorphism information content(PIC),linkage disequilibrium coefficients,inbreeding coefficients,genetic distance and fixation indices.The methods of statistical analysis included principal component analysis,phylogenetic trees,analysis of molecular variance(AMOVA),R matrix,GIS and spatial autocorrelation.By means of vari-ous parameters and methods,graphically and scientifically,we can describe and interpret several key issues in the study of population genetics,such as population genetic structure,population differentiation and human evolution.

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